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Stable Diffusion 2 1 Unclip Small

Developed by stabilityai
A fine-tuned version of Stable Diffusion 2.1 that supports text and noisy CLIP image embeddings as input for generating image variants
Downloads 474
Release Time : 3/24/2023

Model Overview

A text-to-image generation model based on latent diffusion models, capable of generating and modifying images based on text prompts or image embeddings

Model Features

Dual-Modal Input
Supports both text prompts and noisy CLIP image embeddings as input
Image Variant Generation
Adjust the noise_level parameter to control the amount of noise in image embeddings, generating image variants of different styles
High-Quality Generation
Based on latent diffusion model technology, capable of generating high-quality images

Model Capabilities

Text-to-image generation
Image variant generation
Image modification
Art creation

Use Cases

Art Creation
Concept Art Generation
Generate concept art based on text descriptions
Quickly generate visual concepts for fields like gaming and film
Style Transformation
Generate variants of different styles based on existing images
Provide designers with diverse creative options
Education and Research
Generative Model Research
Study the limitations and biases of diffusion models
Advance research on the safety and fairness of generative models
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